Similarity Based Object Retrieval of Composite Neuronal Structures. - Florian Schulze; Martin Trapp 001; Katja Bühler; Tianxiao Liu; Barry J. Dickson (3DOR@Eurographics, 2012)

3D object retrieval in an atlas of neuronal structures. - Martin Trapp 001; Florian Schulze; Katja Bühler; Tianxiao Liu; Barry J. Dickson (Vis. Comput., 2013)

Automatic Identification of Character Types from Film Dialogs. - Marcin Skowron; Martin Trapp 001; Sabine Payr; Robert Trappl (Appl. Artif. Intell., 2016)

Adaptive and Background-Aware GAL4 Expression Enhancement of Co-registered Confocal Microscopy Images. - Martin Trapp 001; Florian Schulze; Alexey A. Novikov; Laszlo Tirian; Barry J. Dickson; Katja Bühler (Neuroinformatics, 2016)

Retrieving Compositional Documents Using Position-Sensitive Word Mover's Distance. - Martin Trapp 001; Marcin Skowron; Dietmar Schabus (ICTIR, 2017)

One Million Posts: A Data Set of German Online Discussions. - Dietmar Schabus; Marcin Skowron; Martin Trapp 001 (SIGIR, 2017)

Safe Semi-Supervised Learning of Sum-Product Networks. - Martin Trapp 001; Tamas Madl; Robert Peharz; Franz Pernkopf; Robert Trappl (UAI, 2017)

Strategic Talk in Film. - Sabine Payr; Marcin Skowron; Anna Dobrosovestnova; Martin Trapp 001; Robert Trappl (Cybern. Syst., 2017)

Grounded Word Learning on a Pepper Robot. - Matthias Hirschmanner; Stephanie Gross; Brigitte Krenn; Friedrich Neubarth; Martin Trapp 001; Markus Vincze (IVA, 2018)

Probabilistic Deep Learning using Random Sum-Product Networks. - Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina 001; Martin Trapp 001; Kristian Kersting; Zoubin Ghahramani (CoRR, 2018)

Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. - Martin Trapp 001; Robert Peharz; Carl E. Rasmussen; Franz Pernkopf (CoRR, 2018)

AdvancedHMC.jl: A robust, modular and e cient implementation of advanced HMC algorithms. - Kai Xu; Hong Ge; Will Tebbutt; Mohamed Tarek; Martin Trapp 001; Zoubin Ghahramani (AABI, 2019)

Bayesian Learning of Sum-Product Networks. - Martin Trapp 001; Robert Peharz; Hong Ge; Franz Pernkopf; Zoubin Ghahramani (NeurIPS, 2019)

Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning. - Robert Peharz; Antonio Vergari; Karl Stelzner; Alejandro Molina 001; Martin Trapp 001; Xiaoting Shao; Kristian Kersting; Zoubin Ghahramani (UAI, 2019)

Optimisation of Overparametrized Sum-Product Networks. - Martin Trapp 001; Robert Peharz; Franz Pernkopf (CoRR, 2019)

Deep Structured Mixtures of Gaussian Processes. - Martin Trapp 001; Robert Peharz; Franz Pernkopf; Carl Edward Rasmussen (AISTATS, 2020)

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits. - Robert Peharz; Steven Lang; Antonio Vergari; Karl Stelzner; Alejandro Molina 001; Martin Trapp 001; Guy Van den Broeck; Kristian Kersting; Zoubin Ghahramani (ICML, 2020)

DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models. - Mohamed Tarek; Kai Xu; Martin Trapp 001; Hong Ge; Zoubin Ghahramani (CoRR, 2020)

Models of Cross-Situational and Crossmodal Word Learning in Task-Oriented Scenarios. - Brigitte Krenn; Sepideh Sadeghi; Friedrich Neubarth; Stephanie Gross; Martin Trapp 001; Matthias Scheutz (IEEE Trans. Cogn. Dev. Syst., 2020)

Periodic Activation Functions Induce Stationarity. - Lassi Meronen; Martin Trapp 001; Arno Solin (NeurIPS, 2021)

Leveraging probabilistic circuits for nonparametric multi-output regression. - Zhongjie Yu 001; Mingye Zhu; Martin Trapp 001; Arseny Skryagin; Kristian Kersting (UAI, 2021)

Uncertainty-Guided Source-Free Domain Adaptation. - Subhankar Roy; Martin Trapp 001; Andrea Pilzer; Juho Kannala; Nicu Sebe; Elisa Ricci 001; Arno Solin (ECCV (25), 2022)

Anomaly Detection Using Generative Models and Sum-Product Networks in Mammography Scans. - Marc Dietrichstein; David Major; Martin Trapp 001; Maria Wimmer 002; Dimitrios Lenis; Philip Winter; Astrid Berg; Theresa Neubauer; Katja Bühler (DGM4MICCAI@MICCAI, 2022)

A Hardware Perspective to Evaluating Probabilistic Circuits. - Jelin Leslin; Antti Hyttinen; Karthekeyan Periasamy; Lingyun Yao; Martin Trapp 001; Martin Andraud (PGM, 2022)

Representational Multiplicity Should Be Exposed, Not Eliminated. - Ari Heljakka; Martin Trapp 001; Juho Kannala; Arno Solin (CoRR, 2022)

The Robust Semantic Segmentation UNCV2023 Challenge Results. - Xuanlong Yu; Yi Zuo; Zitao Wang; Xiaowen Zhang; Jiaxuan Zhao; Yuting Yang 008; Licheng Jiao; Rui Peng; Xinyi Wang; Junpei Zhang; Kexin Zhang 003; Fang Liu 001; et al. (ICCV (Workshops), 2023)

Characteristic Circuits. - Zhongjie Yu 001; Martin Trapp 001; Kristian Kersting (NeurIPS, 2023)

Transport with Support: Data-Conditional Diffusion Bridges. - Ella Tamir; Martin Trapp 001; Arno Solin (Trans. Mach. Learn. Res., 2023)

Subtractive Mixture Models via Squaring: Representation and Learning. - Lorenzo Loconte; Aleksanteri M. Sladek; Stefan Mengel; Martin Trapp 001; Arno Solin; Nicolas Gillis; Antonio Vergari (ICLR, 2024)

On Hardware-efficient Inference in Probabilistic Circuits. - Lingyun Yao; Martin Trapp 001; Jelin Leslin; Gaurav Singh 005; Peng Zhang 028; Karthekeyan Periasamy; Martin Andraud (UAI, 2024)

Fixing Overconfidence in Dynamic Neural Networks. - Lassi Meronen; Martin Trapp 001; Andrea Pilzer; Le Yang 007; Arno Solin (WACV, 2024)

Probabilistic Circuits for Cumulative Distribution Functions. - Oliver Broadrick; William X. Cao; Benjie Wang 001; Martin Trapp 001; Guy Van den Broeck (CoRR, 2024)

Post-hoc Probabilistic Vision-Language Models. - Anton Baumann; Rui Li 001; Marcus Klasson; Santeri Mentu; Shyamgopal Karthik; Zeynep Akata; Arno Solin; Martin Trapp 001 (CoRR, 2024)

Streamlining Prediction in Bayesian Deep Learning. - Rui Li 001; Marcus Klasson; Arno Solin; Martin Trapp 001 (ICLR, 2025)

Approximate Bayesian Inference via Bitstring Representations. - Aleksanteri M. Sladek; Martin Trapp 001; Arno Solin (UAI, 2025)

Flatness Improves Backbone Generalisation in Few-Shot Classification. - Rui Li 001; Martin Trapp 001; Marcus Klasson; Arno Solin (WACV, 2025)

Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications. - Jelin Leslin; Martin Trapp 001; Martin Andraud (CoRR, 2025)